public static void centerColum(DoubleMatrix2D mat) {
System.out.println("Standardizing probe mean");
for (int c = 0; c < mat.columns(); c++) {
double mean = Descriptives.mean(mat.viewColumn(c).toArray());
for (int r = 0; r < mat.rows(); r++) {
mat.set(r, c, ((mat.getQuick(r, c) - mean)));
}
}
}
public static void rankColumns(DoubleMatrix2D matrix) {
RankingAlgorithm COV_RANKER_TIE = new NaturalRanking(NaNStrategy.FAILED, TiesStrategy.AVERAGE);
for (int c = 0; c < matrix.columns(); c++) {
double[] rank = COV_RANKER_TIE.rank(matrix.viewColumn(c).toArray());
for (int r = 0; r < matrix.rows(); r++) {
matrix.set(r, c, (rank[r]));
}
}
}
public static void scaleColum(DoubleMatrix2D mat) {
System.out.println("Standardizing probe standard deviation");
for (int c = 0; c < mat.columns(); c++) {
double[] t = mat.viewColumn(c).toArray();
double mean = Descriptives.mean(t);
double stdev = Math.sqrt(Descriptives.variance(t, mean));
for (int r = 0; r < mat.rows(); r++) {
mat.set(r, c, ((mat.getQuick(r, c)) / stdev));
}
}
}
